{"title":"Design of time-frequency distributions for amplitude and IF estimation of multicomponent signals","authors":"Z. M. Hussain, B. Boashash","doi":"10.1109/ISSPA.2001.949847","DOIUrl":null,"url":null,"abstract":"This paper presents a new class of time-frequency. distributions (TFDs) suitable for efficient amplitude and instantaneous frequency (IF) estimation of mono- and multicomponent FM signals. The main characteristic of these TFDs, referred to as T-distributions, is that their kernels are functions of time only in the time-lag domain, hence the name time-only kernels. It is shown that separable time-lag kernels should be lag-independent for best resolution. In addition, amplitude estimation is possible directly from the T-distributions in the case of FM signals, a property that is not verified by other TFDs. The exponential and hyperbolic members of this class are analyzed. Numerical examples are incorporated to show the superior performance of the time-only kernels as compared to their two-dimensional counterparts.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2001.949847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
This paper presents a new class of time-frequency. distributions (TFDs) suitable for efficient amplitude and instantaneous frequency (IF) estimation of mono- and multicomponent FM signals. The main characteristic of these TFDs, referred to as T-distributions, is that their kernels are functions of time only in the time-lag domain, hence the name time-only kernels. It is shown that separable time-lag kernels should be lag-independent for best resolution. In addition, amplitude estimation is possible directly from the T-distributions in the case of FM signals, a property that is not verified by other TFDs. The exponential and hyperbolic members of this class are analyzed. Numerical examples are incorporated to show the superior performance of the time-only kernels as compared to their two-dimensional counterparts.